This solution uses PROC SGPLOT's DENSITY statements.  Transform the data into multiple columns (one per class) and then use multiple density plots. I just used a data step with SASHELP.CARS to do that, but you can likely use proc transpose. /*--Sort the data--*/ proc sort data=sashelp.cars out=cars;   by origin;   run; /*--Separate the class data into multiple columns--*/ data cars1 cars2 cars3;   set cars (keep=mpg_city origin);   if origin='USA' then do; mpg_usa=mpg_city; output cars1; end;   if origin='Asia' then do; mpg_asia=mpg_city; output cars2; end;   if origin='Europe' then do; mpg_eur=mpg_city; output cars3; end;   run; /*--Merge data into one data set--*/ data MpgByOrigin;   merge cars1(keep=mpg_usa) cars2(keep=mpg_asia) cars3(keep=mpg_eur);   run; /*--Create graph using SGPLOT--*/ title 'Milage Distribution by Origin'; proc sgplot data=mpgbyorigin;   density mpg_usa / legendlabel='USA' lineattrs=(pattern=solid);   density mpg_asia  / legendlabel='Asia' lineattrs=(pattern=solid);   density mpg_eur  / legendlabel='Europe' lineattrs=(pattern=solid);   keylegend / location=inside position=topright across=1;   xaxis display=(nolabel);   run; ... View more